Results 31 to 40 of about 26,096 (247)
Context-Aware Correlation Filter Tracking
Correlation filter (CF) based trackers have recently gained a lot of popularity due to their impressive performance on benchmark datasets, while maintaining high frame rates.
Mueller, Matthias +2 more
core +1 more source
Exact BER Performance of Asynchronous DS-CDMA Systems using Quadriphase Spreading and QPSK Modulation over Rayleigh Channels [PDF]
An accurate closed-form expression is derived for calculating the average BER in an asynchronous DS-CDMA system using random complex-valued spreading sequences for transmission over Rayleigh channels. This accurate solution is based on the Characteristic
Liu, X., L. Hanzo, Hanzo, L., Xiang Liu
core +1 more source
Multiple Perspective Object Tracking via Context-Aware Correlation Filter
Correlation filter (CF)-based tracking methods have demonstrated excellent performance owing to their dense sample strategy and computational efficiency. However, the CF tracker suffers from several drawbacks. First, the training samples are generated by
Xiaolong Zhou +4 more
doaj +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Target Response Adaptation for Correlation Filter Tracking
Most correlation filter (CF) based trackers utilize the circulant structure of the training data to learn a linear filter that best regresses this data to a hand-crafted target response.
Bibi, Adel +2 more
core +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
A vehicle tracking algorithm combining detector and tracker
Real-time multichannel video analysis is significant for intelligent transportation. Considering that deep learning and correlation filter (CF) tracking are time-consuming, a vehicle tracking method for traffic scenes is presented based on a detection ...
Bo Yang +5 more
doaj +1 more source
Adaptive Multifocus Correlation Filter with Bayesian Fusion for Maritime Radar Target Tracking
This study addresses the critical challenge of radar target tracking in complex maritime environments. Although conventional feature-aided Bayesian tracking methods have advanced in maritime radar applications, their robustness considerably deteriorates ...
Junlong XIONG +5 more
doaj +1 more source

